Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations
Financial risk protection (FRP), or the prevention of medical impoverishment, is a major objective of health systems, particularly in low- and middle-income countries where the extent of out-of-pocket (OOP) health expenditures can be substantial. We sought to develop a method that allows decision ma...
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Veröffentlicht in: | Value in health 2023-03, Vol.26 (3), p.411-417 |
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creator | Hendrix, Nathaniel Bolongaita, Sarah Villano, Dominick Memirie, Solomon Tessema Tolla, Mieraf Taddesse Verguet, Stéphane |
description | Financial risk protection (FRP), or the prevention of medical impoverishment, is a major objective of health systems, particularly in low- and middle-income countries where the extent of out-of-pocket (OOP) health expenditures can be substantial. We sought to develop a method that allows decision makers to explicitly integrate FRP outcomes into their priority-setting activities.
We used literature review to identify 31 interventions in low- and middle-income countries, each of which provided measures of health outcomes, costs, OOP health expenditures averted, and FRP (proxied by OOP health expenditures averted as a percentage of income), all disaggregated by income quintile. We developed weights drawn from the Z-score of each quintile-intervention pair based on the distribution of FRP of all quintile-intervention pairs. We next ranked the interventions by unweighted and weighted health outcomes for each income quintile. We also evaluated how pro-poor they were by, first, ordering the interventions by cost-effectiveness for each quintile and, next, calculating the proportion of interventions each income quintile would be targeted for a given random budget. A ranking was said to be pro-poor if each quintile received the same or higher proportion of interventions than richer quintiles.
Using FRP weights produced a more pro-poor priority setting than unweighted outcomes. Most of the reordering produced by the inclusion of FRP weights occurred in interventions of moderate cost-effectiveness, suggesting that these weights would be most useful as a way of distinguishing moderately cost-effective interventions with relatively high potential FRP.
This preliminary method of integrating FRP into priority-setting would likely be most suitable to deciding between health interventions with intermediate cost-effectiveness. |
doi_str_mv | 10.1016/j.jval.2022.09.007 |
format | Article |
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We used literature review to identify 31 interventions in low- and middle-income countries, each of which provided measures of health outcomes, costs, OOP health expenditures averted, and FRP (proxied by OOP health expenditures averted as a percentage of income), all disaggregated by income quintile. We developed weights drawn from the Z-score of each quintile-intervention pair based on the distribution of FRP of all quintile-intervention pairs. We next ranked the interventions by unweighted and weighted health outcomes for each income quintile. We also evaluated how pro-poor they were by, first, ordering the interventions by cost-effectiveness for each quintile and, next, calculating the proportion of interventions each income quintile would be targeted for a given random budget. A ranking was said to be pro-poor if each quintile received the same or higher proportion of interventions than richer quintiles.
Using FRP weights produced a more pro-poor priority setting than unweighted outcomes. Most of the reordering produced by the inclusion of FRP weights occurred in interventions of moderate cost-effectiveness, suggesting that these weights would be most useful as a way of distinguishing moderately cost-effective interventions with relatively high potential FRP.
This preliminary method of integrating FRP into priority-setting would likely be most suitable to deciding between health interventions with intermediate cost-effectiveness.</description><identifier>ISSN: 1098-3015</identifier><identifier>EISSN: 1524-4733</identifier><identifier>DOI: 10.1016/j.jval.2022.09.007</identifier><identifier>PMID: 36494302</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Cost-Benefit Analysis ; economic evaluation ; equity ; financial risk protection ; Health Expenditures ; Humans ; Income ; low- and middle-income countries ; priority setting</subject><ispartof>Value in health, 2023-03, Vol.26 (3), p.411-417</ispartof><rights>2022</rights><rights>Copyright © 2022. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-a38309d0439521f27d9b1019777c7b3a73bff275072ec9e468397d48fe47e66f3</citedby><cites>FETCH-LOGICAL-c356t-a38309d0439521f27d9b1019777c7b3a73bff275072ec9e468397d48fe47e66f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1098301522021866$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36494302$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hendrix, Nathaniel</creatorcontrib><creatorcontrib>Bolongaita, Sarah</creatorcontrib><creatorcontrib>Villano, Dominick</creatorcontrib><creatorcontrib>Memirie, Solomon Tessema</creatorcontrib><creatorcontrib>Tolla, Mieraf Taddesse</creatorcontrib><creatorcontrib>Verguet, Stéphane</creatorcontrib><title>Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations</title><title>Value in health</title><addtitle>Value Health</addtitle><description>Financial risk protection (FRP), or the prevention of medical impoverishment, is a major objective of health systems, particularly in low- and middle-income countries where the extent of out-of-pocket (OOP) health expenditures can be substantial. We sought to develop a method that allows decision makers to explicitly integrate FRP outcomes into their priority-setting activities.
We used literature review to identify 31 interventions in low- and middle-income countries, each of which provided measures of health outcomes, costs, OOP health expenditures averted, and FRP (proxied by OOP health expenditures averted as a percentage of income), all disaggregated by income quintile. We developed weights drawn from the Z-score of each quintile-intervention pair based on the distribution of FRP of all quintile-intervention pairs. We next ranked the interventions by unweighted and weighted health outcomes for each income quintile. We also evaluated how pro-poor they were by, first, ordering the interventions by cost-effectiveness for each quintile and, next, calculating the proportion of interventions each income quintile would be targeted for a given random budget. A ranking was said to be pro-poor if each quintile received the same or higher proportion of interventions than richer quintiles.
Using FRP weights produced a more pro-poor priority setting than unweighted outcomes. Most of the reordering produced by the inclusion of FRP weights occurred in interventions of moderate cost-effectiveness, suggesting that these weights would be most useful as a way of distinguishing moderately cost-effective interventions with relatively high potential FRP.
This preliminary method of integrating FRP into priority-setting would likely be most suitable to deciding between health interventions with intermediate cost-effectiveness.</description><subject>Cost-Benefit Analysis</subject><subject>economic evaluation</subject><subject>equity</subject><subject>financial risk protection</subject><subject>Health Expenditures</subject><subject>Humans</subject><subject>Income</subject><subject>low- and middle-income countries</subject><subject>priority setting</subject><issn>1098-3015</issn><issn>1524-4733</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1q3DAUhUVpaH7aF-iiaNmN3WvJtizIpoTJDwRaQkKXQpavE0090kSSB1Lou0fOJF12JXE559PVR8jnCsoKqvbbulzv9FQyYKwEWQKId-Soalhd1ILz9_kOsis4VM0hOY5xDQAtZ80HcsjbWtYc2BH5u3qcbdL9hPRnsD7YZP_oZL2jfqSXqKf0QK9cwrBDt4wj7Z_ywPiw9SEH3T09t047Y_VEb2z8nTE-oXlB_EJ7_5DiAvB0ZbzzG2voKi89v7wRP5KDUU8RP72eJ-TufHV7dllc_7i4Ovt-XRjetKnQvOMgB6i5bFg1MjHIPhuQQggjeq4F78c8bUAwNBLrtuNSDHU3Yi2wbUd-Qr7uudvgH2eMSW1sNDhN2qGfo8pdzmTHpMhRto-a4GMMOKptsBsdnlQFatGu1mrRrhbtCqTK2nPpyyt_7jc4_Ku8ec6B030A8y93FoOKxqIzONiQZanB2__xnwHMApWV</recordid><startdate>202303</startdate><enddate>202303</enddate><creator>Hendrix, Nathaniel</creator><creator>Bolongaita, Sarah</creator><creator>Villano, Dominick</creator><creator>Memirie, Solomon Tessema</creator><creator>Tolla, Mieraf Taddesse</creator><creator>Verguet, Stéphane</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202303</creationdate><title>Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations</title><author>Hendrix, Nathaniel ; Bolongaita, Sarah ; Villano, Dominick ; Memirie, Solomon Tessema ; Tolla, Mieraf Taddesse ; Verguet, Stéphane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-a38309d0439521f27d9b1019777c7b3a73bff275072ec9e468397d48fe47e66f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cost-Benefit Analysis</topic><topic>economic evaluation</topic><topic>equity</topic><topic>financial risk protection</topic><topic>Health Expenditures</topic><topic>Humans</topic><topic>Income</topic><topic>low- and middle-income countries</topic><topic>priority setting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hendrix, Nathaniel</creatorcontrib><creatorcontrib>Bolongaita, Sarah</creatorcontrib><creatorcontrib>Villano, Dominick</creatorcontrib><creatorcontrib>Memirie, Solomon Tessema</creatorcontrib><creatorcontrib>Tolla, Mieraf Taddesse</creatorcontrib><creatorcontrib>Verguet, Stéphane</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Value in health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hendrix, Nathaniel</au><au>Bolongaita, Sarah</au><au>Villano, Dominick</au><au>Memirie, Solomon Tessema</au><au>Tolla, Mieraf Taddesse</au><au>Verguet, Stéphane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations</atitle><jtitle>Value in health</jtitle><addtitle>Value Health</addtitle><date>2023-03</date><risdate>2023</risdate><volume>26</volume><issue>3</issue><spage>411</spage><epage>417</epage><pages>411-417</pages><issn>1098-3015</issn><eissn>1524-4733</eissn><abstract>Financial risk protection (FRP), or the prevention of medical impoverishment, is a major objective of health systems, particularly in low- and middle-income countries where the extent of out-of-pocket (OOP) health expenditures can be substantial. We sought to develop a method that allows decision makers to explicitly integrate FRP outcomes into their priority-setting activities.
We used literature review to identify 31 interventions in low- and middle-income countries, each of which provided measures of health outcomes, costs, OOP health expenditures averted, and FRP (proxied by OOP health expenditures averted as a percentage of income), all disaggregated by income quintile. We developed weights drawn from the Z-score of each quintile-intervention pair based on the distribution of FRP of all quintile-intervention pairs. We next ranked the interventions by unweighted and weighted health outcomes for each income quintile. We also evaluated how pro-poor they were by, first, ordering the interventions by cost-effectiveness for each quintile and, next, calculating the proportion of interventions each income quintile would be targeted for a given random budget. A ranking was said to be pro-poor if each quintile received the same or higher proportion of interventions than richer quintiles.
Using FRP weights produced a more pro-poor priority setting than unweighted outcomes. Most of the reordering produced by the inclusion of FRP weights occurred in interventions of moderate cost-effectiveness, suggesting that these weights would be most useful as a way of distinguishing moderately cost-effective interventions with relatively high potential FRP.
This preliminary method of integrating FRP into priority-setting would likely be most suitable to deciding between health interventions with intermediate cost-effectiveness.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36494302</pmid><doi>10.1016/j.jval.2022.09.007</doi><tpages>7</tpages></addata></record> |
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subjects | Cost-Benefit Analysis economic evaluation equity financial risk protection Health Expenditures Humans Income low- and middle-income countries priority setting |
title | Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations |
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